{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Same Height\n",
    "Two beacons were located at the same height. We collected 200 records at each height level."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Server-RSSI</th>\n",
       "      <th>Server-Height</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-79.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-79.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-78.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-77.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-79.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Server-RSSI  Server-Height\n",
       "0        -79.0            0.0\n",
       "1        -79.0            0.0\n",
       "2        -78.0            0.0\n",
       "3        -77.0            0.0\n",
       "4        -79.0            0.0"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"../data/same_height.csv\",index_col=[\"Unnamed: 0\"])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Server-RSSI      1200\n",
       "Server-Height    1200\n",
       "dtype: int64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7efdfd94e1c0>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x2160 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(df,height=5, row=\"Server-Height\",sharex=False,sharey=False)\n",
    "g.map(sns.distplot, \"Server-RSSI\",kde_kws={'bw': 1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Server-RSSI</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Server-Height</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.00</th>\n",
       "      <td>-79.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.23</th>\n",
       "      <td>-55.730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.46</th>\n",
       "      <td>-46.840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.69</th>\n",
       "      <td>-67.440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.92</th>\n",
       "      <td>-60.015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.15</th>\n",
       "      <td>-53.405</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Server-RSSI\n",
       "Server-Height             \n",
       "0.00               -79.060\n",
       "0.23               -55.730\n",
       "0.46               -46.840\n",
       "0.69               -67.440\n",
       "0.92               -60.015\n",
       "1.15               -53.405"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean = df.groupby(\"Server-Height\").mean()\n",
    "mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7efdfd306a30>]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(mean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Different Height\n",
    "One beacon (receiver) was located on the constant height - 1.15m. Second (server) was moved downwards for 0.23m for each\n",
    "series of records."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Server-RSSI</th>\n",
       "      <th>Server-Height</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-53.0</td>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-52.0</td>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-52.0</td>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-52.0</td>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-53.0</td>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Server-RSSI  Server-Height\n",
       "0        -53.0           1.15\n",
       "1        -52.0           1.15\n",
       "2        -52.0           1.15\n",
       "3        -52.0           1.15\n",
       "4        -53.0           1.15"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"../data/different_height_110cm_x.csv\",index_col=[\"Unnamed: 0\"])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Server-RSSI      1197\n",
       "Server-Height    1197\n",
       "dtype: int64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7efdfc747790>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x2160 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(df,height=5, row=\"Server-Height\",sharex=False,sharey=False)\n",
    "g.map(sns.distplot, \"Server-RSSI\",kde_kws={'bw': 1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Server-RSSI</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Server-Height</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.00</th>\n",
       "      <td>-60.415000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.23</th>\n",
       "      <td>-55.375635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.46</th>\n",
       "      <td>-56.285000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.69</th>\n",
       "      <td>-56.820000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.92</th>\n",
       "      <td>-59.440000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.15</th>\n",
       "      <td>-53.405000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Server-RSSI\n",
       "Server-Height             \n",
       "0.00            -60.415000\n",
       "0.23            -55.375635\n",
       "0.46            -56.285000\n",
       "0.69            -56.820000\n",
       "0.92            -59.440000\n",
       "1.15            -53.405000"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean = df.groupby(\"Server-Height\").mean()\n",
    "mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7efdfc2c5880>]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(mean)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "metadata": {
     "collapsed": false
    },
    "source": []
   }
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
